Sematch: Semantic Similarity Framework for Knowledge Graphs

Ganggao Zhu & Carlos A. Iglesias. (2017). Sematch: Semantic Similarity Framework for Knowledge Graphs. Knowledge-Based Systems.

Abstract:
Sematch is an integrated framework for the development, evaluation and application of semantic similarity in Knowledge Graphs (KGs). The framework provides a number of similarity datasets and tools, and allow users to interact with KGs.
JCR 2017 Q1 4.396, SJR 2017 Q1 1.378, Scopus 2017 Q1 8.6